A Colour Rotation Based Detector for Bleeding Gastric Pathologies
| dc.contributor.author | Coelho, P. | en_US |
| dc.contributor.author | Cunha, A. | en_US |
| dc.contributor.author | Costa, P. | en_US |
| dc.contributor.author | Hadjileontiadis, L. | en_US |
| dc.contributor.editor | Silva, F. and Gutierrez, D. and RodrÃguez, J. and Figueiredo, M. | en_US |
| dc.date.accessioned | 2021-06-18T07:47:49Z | |
| dc.date.available | 2021-06-18T07:47:49Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Colour is one the distinct features in computer vision systems and can be represented in several colour spaces. The most commonly used is the RGB colour space, since most high-quality cameras used in computer vision systems provide RGB signals, for example endoscopic capsule cameras. This work describes a computer vision algorithm intended to assist the physician in the diagnosis of endoscopic diseases, such as gastrointestinal bleeding, using a colour space rotation-based method. This algorithm modifies the images RGB representation channels in such way that the bleeding information can be effectively enhanced in a single channel. Tests in endoscopic images were performed and results have shown that the proposed colour-based rotation approach successfully increases the detection of bleeding regions in endoscopic images, corroborating the usefulness in physician diagnosis assistance. | en_US |
| dc.description.sectionheaders | Medical Data Visualization | |
| dc.description.seriesinformation | V Ibero-American Symposium in Computer Graphics | |
| dc.identifier.doi | 10.2312/pt.20111154 | |
| dc.identifier.isbn | 978-3-03868-152-6 | |
| dc.identifier.pages | 225-228 | |
| dc.identifier.uri | https://doi.org/10.2312/pt.20111154 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/pt20111154 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | ! | |
| dc.title | A Colour Rotation Based Detector for Bleeding Gastric Pathologies | en_US |
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